Examining the Behavioural Impact of Artificial Intelligence Applications in E- Commerce Ecosystems
Keywords:
Artificial intelligence, e-commerce, consumer behaviour, personalization, chatbots, trustAbstract
Within e-commerce ecosystems, artificial intelligence (AI) has emerged as a disruptive force that is altering digital decision-making, personalization tactics, and consumer engagement. AI applications such as recommendation systems, chatbots, intelligent search mechanisms, and predictive analytics are rapidly affecting online purchase behaviour. With an emphasis on purchase intention, contentment, and trust, this study investigates the behavioral effects of AI apps on customers in e-commerce settings. A structured questionnaire was used to gather primary data from internet shoppers using a quantitative research design. The suggested hypotheses were tested using statistical methods such as regression, correlation, and reliability analysis. The results show that while AI-enabled interactive support systems have a favorable impact on satisfaction and trust, AI-driven customisation has a major impact on purchase intention. By combining several AI applications into a behavioral framework, the study advances theoretical knowledge and provides useful insights for the creation of digital commerce strategies.
References
Raji MA, Olodo HB, Oke TT, Addy WA, Ofodile OC, Oyewole AT. E-commerce and consumer behavior: a review of AI-powered personalization and market trends. GSC Adv Res Rev. 2024;18(3):066–077.
Ahmed SMM, Owais M, Raza M, Nadeem Q, Ahmed B. The impact of AI-driven personalization on consumer engagement and brand loyalty. Qlantic J Soc Sci. 2025;6(1):311–323.
Mohsin S. The influence of AI-driven personalization on consumer decision-making in e-commerce platforms. Al-Rafidain J Eng Sci. 2024:249–261.
Meske C, Bunde E. Design principles for user interfaces in AI-based decision support systems: the case of explainable hate speech detection. Inf Syst Front. 2023;25(2):743–773.
Buschmeyer K, Hatfield S, Zenner J. Psychological assessment of AI-based decision support systems: tool development and expected benefits. Front Artif Intell. 2023;6:1249322.
Yang Y, Xia N. Enhancing students' metacognition via AI-driven educational support systems. Int J Emerg Technol Learn. 2023;18(24):133–148.
Daly SJ, Wiewiora A, Hearn G. Shifting attitudes and trust in AI: influences on organizational AI adoption. Technol Forecast Soc Change. 2025;215:124108.
Kauttonen J, Rousi R, Alamäki A. Trust and acceptance challenges in the adoption of AI applications in health care: quantitative survey analysis. J Med Internet Res. 2025;27:e65567.
Afroogh S, Akbari A, Malone E, Kargar M, Alambeigi H. Trust in AI: progress, challenges, and future directions. Humanit Soc Sci Commun. 2024;11(1):1568.
Davenport TH, Ronanki R. Artificial intelligence for the real world. Harv Bus Rev. 2018 Jan- Feb;96(1):108–116. Available from: https://hbr.org/2018/01/artificial-intelligence-for-the-real- world
